강동우 김미영 조덕호 이성우 2018-11-15T09:35:27Z 2018-11-15T09:35:27Z 2010-10 RE33-4-04 http://repository.krei.re.kr/handle/2018.oak/19432 This study examines the effects of urban development pressure on agricultural land prices in Korea. It investigates the determinants of agricultural land prices, focusing particularly on urban planning variables on agricultural land use. Since agricultural land price is in general closely related to the spatial characteristics of an area, it adopts a mixed GWR (geographically weighted regression) model in order to identify local and global effects of independent variables on agricultural property values. Results of a mixed GWR model prove to be superior to those of a global model (OLS) and standard spatial econometrics models (SAR, SEM, SAC) in terms of model fits and stability of the parameters estimated. The model notes that spatial dependency and heterogeneity are particularly important in examining the variations of agricultural land price. The empirical results provide strong evidences that such factors as man-made and natural features are closely relevant in determining agricultural property values. This study examines the effects of urban development pressure on agricultural land prices in Korea. It investigates the determinants of agricultural land prices, focusing particularly on urban planning variables on agricultural land use. Since agricultural land price is in general closely related to the spatial characteristics of an area, it adopts a mixed GWR (geographically weighted regression) model in order to identify local and global effects of independent variables on agricultural property values. Results of a mixed GWR model prove to be superior to those of a global model (OLS) and standard spatial econometrics models (SAR, SEM, SAC) in terms of model fits and stability of the parameters estimated. The model notes that spatial dependency and heterogeneity are particularly important in examining the variations of agricultural land price. The empirical results provide strong evidences that such factors as man-made and natural features are closely relevant in determining agricultural property values. I. Introduction II. Literature review III. Methodology IV. Data and Variables V. Results VI. Conclusion I. Introduction II. Literature review III. Methodology IV. Data and Variables V. Results VI. Conclusion The Effects of Urban Development Pressure on Agricultural Land Price: Application of a Mixed GWR Model The Effects of Urban Development Pressure on Agricultural Land Price: Application of a Mixed GWR Model KREI 논문 83 63 Kang, Dongwoo Kim, Miyoung Cho, Deokho Lee, Sungwoo page. 63 - 83 agricultural land price mixed GWR model spatial econometrics model urban development pressure agricultural land price mixed GWR model spatial econometrics model urban development pressure